We investigate the application of amplitude-shaped control pulses for enhancing the time and frequency resolution of multipulse quantum sensing sequences. Using the electronic spin of a single nitrogen-vacancy center in diamond and up to 10 000 coherent microwave pulses with a cosine square envelope, we demonstrate 0.6-ps timing resolution for the interpulse delay. This represents a refinement by over 3 orders of magnitude compared to the 2-ns hardware sampling. We apply the method for the detection of external ac magnetic fields and nuclear magnetic resonance signals of C13 spins with high spectral resolution. Our method is simple to implement and especially useful for quantum applications that require fast phase gates, many control pulses, and high fidelity.
ASJC Scopus subject areas
- Physics and Astronomy(all)
Access to Document
Other files and links
FingerprintDive into the research topics of 'High-Resolution Quantum Sensing with Shaped Control Pulses'. Together they form a unique fingerprint.
High-Resolution Quantum Sensing with Shaped Control Pulses. / Zopes, J.; Sasaki, K.; Cujia, K. S.; Boss, J. M.; Chang, K.; Segawa, T. F.; Itoh, K. M.; Degen, C. L.In: Physical review letters, Vol. 119, No. 26, 260501, 28.12.2017.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - High-Resolution Quantum Sensing with Shaped Control Pulses
AU - Zopes, J.
AU - Sasaki, K.
AU - Cujia, K. S.
AU - Boss, J. M.
AU - Chang, K.
AU - Segawa, T. F.
AU - Itoh, K. M.
AU - Degen, C. L.
N1 - Funding Information: Zopes J. 1 Sasaki K. 2 Cujia K. S. 1 Boss J. M. 1 Chang K. 1 Segawa T. F. 1 Itoh K. M. 2 Degen C. L. 1 ,* Department of Physics, 1 ETH Zurich , Otto Stern Weg 1, 8093 Zurich, Switzerland School of Fundamental Science and Technology, 2 Keio University , Yokohama 223-8522, Japan * email@example.com 28 December 2017 29 December 2017 119 26 260501 22 May 2017 © 2017 American Physical Society 2017 American Physical Society We investigate the application of amplitude-shaped control pulses for enhancing the time and frequency resolution of multipulse quantum sensing sequences. Using the electronic spin of a single nitrogen-vacancy center in diamond and up to 10 000 coherent microwave pulses with a cosine square envelope, we demonstrate 0.6-ps timing resolution for the interpulse delay. This represents a refinement by over 3 orders of magnitude compared to the 2-ns hardware sampling. We apply the method for the detection of external ac magnetic fields and nuclear magnetic resonance signals of C 13 spins with high spectral resolution. Our method is simple to implement and especially useful for quantum applications that require fast phase gates, many control pulses, and high fidelity. Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung http://dx.doi.org/10.13039/501100001711 Swiss National Science Foundation Fonds National Suisse de la Recherche Scientifique Fondo Nazionale Svizzero per la Ricerca Scientifica Fonds National Suisse Fondo Nazionale Svizzero Schweizerischer Nationalfonds SNF SNSF FNS http://sws.geonames.org/2658434/ NSF-CH 200021_137520 European Commission http://dx.doi.org/10.13039/501100000780 EC http://sws.geonames.org/6695072/ 611143 Japan Society for the Promotion of Science http://dx.doi.org/10.13039/501100001691 JSPS http://sws.geonames.org/1861060/ 26220602 Pulse shaping is a well-established method in many areas of physics including magnetic resonance [1–3] , trapped ion physics [4,5] and superconducting electronics  for improving the coherent response of quantum systems. Introduced to the field of nuclear magnetic resonance (NMR) spectroscopy in the 1980s, shaped pulses enable selective excitation of nuclear spins with uniform response over the desired bandwidth, which led to more selective and more sensitive measurement techniques. More recently, with the advent of fast arbitrary waveform generators (AWGs), pulse-shaping techniques also entered the field of electron paramagnetic resonance, thereby improving spectrometer performance via chirped pulses for broadband excitation [7,8] . In quantum information processing applications, shaped microwave pulses are utilized to optimize the fidelity and stability of gate operations against environmental perturbations that cause detuning of transition frequencies or fluctuations in the driving frequency [9,10] . In this Letter we investigate the application of pulse shaping to enhance the timing resolution in the emerging fields of dynamical decoupling spectroscopy [11,12] and nanoscale spectroscopy of nuclear spins [13–15] . Dynamical decoupling is a quantum control method developed to protect a quantum system against dephasing by environmental noise  . More recently dynamical decoupling sequences have also been applied to map out noise spectra and to detect time-varying signals with high signal-to-noise ratio [12,17–19] . In their simplest implementation, dynamical decoupling sequences consist of a periodic series of π pulses with repetition time τ  [see Fig. 1(a) ]. For large numbers of pulses N , the spectral response of these sequences resembles that of a narrowband frequency filter, with center frequency 1 / ( 2 τ ) and bandwidth 1 / ( N τ ) , that rejects noise at all frequencies except for those commensurate with the repetition time τ . By tuning τ into resonance with a signal at a particular frequency f ac ≈ 1 / ( 2 τ ) , the sensitivity to the signal can be enhanced while suppressing the influence of noise, thereby resembling the properties of a classical lock-in amplifier in the quantum regime  . 1 10.1103/PhysRevLett.119.260501.f1 FIG. 1. (a) Dynamical decoupling spectroscopy is based on a periodic pulse modulation of the qubit control field with a precisely timed pulse repetition time τ . (b) Modulation of the microwave signal with square pulses limits the time resolution to multiples of the sampling time t s of the pulse generator hardware. Solid and faint profiles show original and time-shifted pulses. (c) Shaped pulses, here with a cosine-square amplitude profile, enable much finer variations of the pulse timing at the same hardware sampling rate. The minimum interpolated δ t is set by the slope of the pulse envelope and the vertical resolution of the pulse generator (inset). t π is the duration of the π pulse defined by the full width at half maximum of the pulse envelope. In our experiments, the qubit is the solid-state spin of a single nitrogen-vacancy center in diamond. When using many control pulses, the filter bandwidth becomes very narrow and the repetition time τ must be precisely tuned to the signal frequency f ac ≈ 1 / ( 2 τ ) . On any controller hardware, however, τ can only be adjusted in increments of the sampling time t s . This limits in practice the frequency resolution of the technique  . Specifically, when detecting a signal with frequency f ac , the minimum frequency increment is given by δ f = 1 2 τ - 1 2 τ + 2 t s ≈ 2 t s f ac 2 . (1) AWGs employed for the control of superconducting and spin qubits have sampling rates of typically 1 GS / s , corresponding to a time resolution of t s = 1 ns . When operating at high frequencies f ac this timing resolution quickly becomes prohibitive. For example, at a signal frequency of f ac = 5 MHz , the minimum frequency increment is δ f = 50 kHz , which precludes the detection of weak signals with sharply defined spectra. Although pulse generators with faster sampling rates exist, they are either extremely costly or require dedicated hardware development [22,23] , yet barely reach adequate timing resolution. Hardware sampling therefore is a severe limitation for dynamical decoupling spectroscopy. Recently, an elaborate experimental scheme termed quantum interpolation has been devised and demonstrated to overcome this issue  . It enables a frequency sampling beyond the hardware limit of the control electronics by varying the interpulse delay between sub-blocks of the sensing sequence. This leads to an interpolation of the spin evolution at a more precisely controlled interpulse delay. Here, we study the complementary and conceptually simpler approach of utilizing shaped control pulses to interpolate the pulse timing. The concept of our method is illustrated in Fig. 1 . Instead of modulating the high-frequency control field by the common square pulse profile [Fig. 1(b) ], we shape the envelope of the pulses by a smooth function. In this study we use a cosine-square profile [Fig. 1(c) ] which is very simple to implement, although any other smooth profile could be applied [25,26] . (Numerical code is given in the Supplemental Material  ). It is also possible to implement optimized control pulses that are more robust against pulse imperfections  . Because the AWG has a high vertical resolution, we can interpolate the center position of a pulse with a timing resolution δ t that is far better than sampling time t s . The interpolated timing resolution δ t is approximately given by the slope of the pulse envelope, δ t = ( ∂ y / ∂ t ) - 1 δ y ∼ t π δ y , where t π is the duration of the pulse and δ y the minimum amplitude increment. Specifically, for a cosine-square shaped pulse of duration t π = 25 ns implemented on an AWG with 14 bits of vertical resolution ( δ y = 2 - 14 ), an interpolated timing resolution of δ t ∼ 1 ps can be expected. To experimentally demonstrate the shaped-pulse interpolation method we study the coherent response of the electronic spin associated with a single nitrogen-vacancy (NV) center in a diamond single crystal  . Control pulses are generated on an AWG operating at 500 MS / s with 14 bits of vertical resolution (Tektronix AWG5002C), and upconverted to the ∼ 2.2 -GHz qubit resonance by frequency mixing with a local oscillator [Fig. 1(a) ]. Additional amplification is used to reach Rabi frequencies of ∼ 20 MHz corresponding to pulse durations of t π ∼ 25 ns . Microwave pulses are applied to the NV center by a coplanar waveguide structure, and the NV spin state is initialized and read out by optical means  . All experiments are performed under ambient conditions. Figure 2 shows a first set of measurements, in which we directly compare the timing resolution of dynamical decoupling sequences with and without shaped pulses. For this purpose we combine the control field with a sinusoidal ac test signal ( f ac = 9.746 969 MHz , B ac = 7.15 μ T ) before delivering it to the coplanar waveguide. In this case the sensing sequence becomes resonant with the ac field for a pulse repetition time of τ = 51.298 ns . When utilizing square pulses, the repetition time can only be stepped in increments of t s = 2 ns and the sampling of the ac signal spectrum is very coarse [Fig. 2(a) ]. In stark contrast, we can finely sample the spectrum using shaped control pulses and clearly augment the hardware-limited time resolution [Fig. 2(b) ]. 2 10.1103/PhysRevLett.119.260501.f2 FIG. 2. Experimental sampling resolution for a sensing sequence with (a) square control pulses and (b) cosine-square control pulses. t s is the hardware sampling time and δ t the interpolated sampling time enabled by the pulse shaping. N is the number of control pulses. p is the probability that the qubit sensor maintains its coherence for different values of the pulse repetition time τ . Solid lines show the theoretical response given by Eqs. (2) and (3) with B ac as the only free parameter, squares and hexagons show the experimental data, and sketches show pulse shapes. We have compared the experimental data to the expected spectral response for the dynamical decoupling sequence. Because the phase of the ac magnetic field is not synchronized to the measurement sequence, we can describe the probability that the sensor qubit maintains its original state by  p ( t , τ ) = 1 2 [ 1 + J 0 ( W N , τ γ B ac t ) ] . (2) Here, γ = 2 π × 28 GHz / T is the gyromagnetic ratio of the electronic sensor spin, t = N τ is the total duration of the phase acquisition, and J 0 is the zeroth-order Bessel function of the first kind. Further, W N , τ ( f ac ) is the spectral weighting or filter function of the sequence  , W N , τ ( f ac ) = | sin ( π f ac N τ ) π f ac N τ [ 1 - sec ( π f ac τ ) ] | , (3) which has a maximum response of W = 2 / π when f ac = 1 / ( 2 τ ) . We find excellent agreement between the experimental spectra and the analytical filter profile of the dynamical decoupling sequence, but only the interpolated sequence provides the required fine frequency sampling. We have verified that the filter profile does not depend on whether square or shaped control pulses are used  . In a second set of experiments, shown in Fig. 3 , we analyze the sensor response under the action of an increasing number of shaped microwave pulses. Here, we keep the frequency of the test signal unchanged but reduce its amplitude. We first record the response to a sequence with N = 192 and 672 shaped pulses to calibrate the amplitude of the ac signal. In both cases the sensor is operated in the small signal regime where the argument of the Bessel function is small ( W N , τ γ B ac t ≲ 2 γ B ac t / π ≪ π ). 3 10.1103/PhysRevLett.119.260501.f3 FIG. 3. Sensor response to a dynamical decoupling sequence with (a) N = 192 , (b) N = 672 , and (c) N = 10 000 shaped control pulses. The frequency and amplitude of the ac test signal is f ac = 9.746 969 MHz and B ac = 0.84 μ T for all measurements, respectively. (d) High-resolution plot of the N = 10 000 dynamical decoupling sequence showing a timing resolution of δ t = 0.6 ps . Solid lines reflect the theoretical model multiplied by an overall decoherence factor exp [ - ( t / T 2 ) 2 ] with T 2 = 535 μ s . Subsequently, we tune the sensor into the strongly nonlinear regime by increasing N up to 10 000 [Fig. 3(c) ]. For this large number of pulses, the argument of the Bessel function in Eq. (2) is no longer a small quantity because the total duration of the sequence t = N τ becomes very long. The nonlinear regime has recently been explored with trapped ions  and it has been found that this regime gives rise to spectral features far below the Fourier limit. Here, we exploit these features to precisely characterize and test the frequency response of the sensor. Figure 3(d) shows a zoom into the center region of spectrum Fig. 3(c) that is acquired with a time increment of δ t = 0.6 ps . We observe that even for this fine time resolution the observed response of the sensor spin agrees well with the model expressed by Eq. (2) . The time increment of 0.6 ps corresponds to a frequency sampling of 114 Hz, which is an improvement by over 3 orders of magnitude compared to the frequency sampling of 380 kHz possible without pulse shaping. To demonstrate the ability of the interpolated dynamical decoupling sequence to spectrally resolve nearby signals, we expose the sensor to a two-tone ac magnetic field composed of two slightly different frequencies. We select equal amplitudes for both frequency components and operated the sensor in the linear regime. As shown in Fig. 4(a) , both frequency components can be clearly distinguished in the resulting spectrum even though the frequencies are only 3 kHz apart. 4 10.1103/PhysRevLett.119.260501.f4 FIG. 4. Applications of the method to high-resolution spectroscopy. (a) Spectrum of two ac test signals separated by 3 kHz. Both signals can be clearly distinguished. (b) NMR spectrum of C 13 nuclei located in close proximity to the NV center sensor spin. Dashed line is the theoretical response to a single C 13 nucleus with hyperfine coupling parameters a ∥ = 2 π × 114 ( 1 ) kHz and a ⊥ = 2 π × 62 ( 1 ) kHz . Solid line includes three additional, more weakly coupled C 13 bath spins. Frequency is 1 / ( 2 τ ) . Finally, we demonstrate that the application of shaped pulses also enables the detection of NMR spectra with high-frequency resolution. NMR spectroscopy is an important test case for our method because very-high-frequency resolutions combined with MHz detection frequencies are typically required. Specifically, we detect the NMR signal of C 13 nuclei located in close proximity to the NV center [34–36] . Figure 4(b) shows the observed spectrum (points) for a sequence with N = 320 control pulses together with a theoretical model (lines). Because the response of the sensor spin is no longer described by the classical description of Eq. (2) , we perform density matrix simulations of the NV- C 13 system to calculate the p ( t , τ ) response curve. The simulations require knowledge of the parallel and perpendicular hyperfine coupling constants a ∥ and a ⊥ , respectively, which we determine in separate high-resolution correlation spectroscopy measurements  . Two simulations are shown with Fig. 4(b) : a first curve (dashed line) plots the expected response from the single C 13 nuclear spin. The second curve (solid line) reflects a simulation that includes three additional, more weakly coupled C 13 nuclei. The example of Fig. 4(b) clearly shows the advantage of a high sampling resolution for detecting NMR spectra. To conclude, we have presented a simple method for greatly increasing the timing resolution of dynamical decoupling sequences. Using sequences with up to 10 000 coherent, cosine-square-shaped control pulses, we were able to improve the effective timing resolution of the interpulse delay by more than 3 orders of magnitude, with time increments as small as 0.6 ps. The resulting high-frequency resolution has been demonstrated by sensing ac magnetic fields and NMR signals from individual carbon nuclear spins. The advantage of our technique is that it simple to implement, robust, and generally applicable. Although a slightly finer timing resolution could possibly be realized by specifically optimized pulse shapes, such as those available through quantum optimum control  , these methods typically require extensive computation and pulse calibration. Pulse shaping provides a simple means to further push the boundaries in frequency resolution and sensitivity in quantum sensing applications and can also be applied to other physical implementations, such as other solid-state defect spins, trapped ultracold atoms and ions, or superconducting qubits. The authors thank Carsten Robens and Tobias Rosskopf for discussions and experimental support. This work was supported by Swiss National Science Foundation (SNFS) Project Grant No. 200021_137520, the National Center of Competence in Research in Quantum Science and Technology (NCCR QSIT), and the DIAmond Devices Enabled Metrology and Sensing (DIADEMS) program, Grant No. 611143, of the European Commission. T. F. S. acknowledges Society in Science, the Branco Weiss Fellowship, administered by the ETH Zurich. The work at Keio has been supported by KAKENHI (S) Grant No. 26220602 and JSPS Core-to-Core Program.  1 C. Bauer , R. Freeman , T. Frenkiel , J. Keeler , and A. Shaka , J. Magn. Reson. 58 , 442 ( 1984 ). JOMRA4 0022-2364 10.1016/0022-2364(84)90148-3  2 J. B. Murdoch , A. H. Lent , and M. R. Kritzer , J. Magn. Reson. 74 , 226 ( 1987 ). JOMRA4 0022-2364 10.1016/0022-2364(87)90336-2  3 J. Baum , R. Tycko , and A. Pines , Phys. Rev. A 32 , 3435 ( 1985 ). PLRAAN 0556-2791 10.1103/PhysRevA.32.3435  4 T. Choi , S. Debnath , T. A. Manning , C. Figgatt , Z.-X. Gong , L.-M. Duan , and C. Monroe , Phys. Rev. Lett. 112 , 190502 ( 2014 ). PRLTAO 0031-9007 10.1103/PhysRevLett.112.190502  5 N. Timoney , V. Elman , S. Glaser , C. Weiss , M. Johanning , W. Neuhauser , and C. Wunderlich , Phys. Rev. A 77 , 052334 ( 2008 ). PLRAAN 1050-2947 10.1103/PhysRevA.77.052334  6 J. Kelly , Phys. Rev. Lett. 112 , 240504 ( 2014 ). PRLTAO 0031-9007 10.1103/PhysRevLett.112.240504  7 T. F. Segawa , A. Doll , S. Pribitzer , and G. Jeschke , J. Chem. Phys. 143 , 044201 ( 2015 ). JCPSA6 0021-9606 10.1063/1.4927088  8 A. Doll and G. Jeschke , Phys. Chem. Chem. Phys. 18 , 23111 ( 2016 ). PPCPFQ 1463-9076 10.1039/C6CP03067J  9 J. M. Chow , L. DiCarlo , J. M. Gambetta , F. Motzoi , L. Frunzio , S. M. Girvin , and R. J. Schoelkopf , Phys. Rev. A 82 , 040305 ( 2010 ). PLRAAN 1050-2947 10.1103/PhysRevA.82.040305  10 A. W. Cross and J. M. Gambetta , Phys. Rev. A 91 , 032325 ( 2015 ). PLRAAN 1050-2947 10.1103/PhysRevA.91.032325  11 L. Cywinski , R. M. Lutchyn , C. P. Nave , and S. D. Sarma , Phys. Rev. B 77 , 174509 ( 2008 ). PRBMDO 1098-0121 10.1103/PhysRevB.77.174509  12 G. A. Alvarez and D. Suter , Phys. Rev. Lett. 107 , 230501 ( 2011 ). PRLTAO 0031-9007 10.1103/PhysRevLett.107.230501  13 A. Ajoy , U. Bissbort , M. D. Lukin , R. L. Walsworth , and P. Cappellaro , Phys. Rev. X 5 , 011001 ( 2015 ). PRXHAE 2160-3308 10.1103/PhysRevX.5.011001  14 X. Kong , A. Stark , J. Du , L. P. McGuinness , and F. Jelezko , Phys. Rev. Applied 4 , 024004 ( 2015 ). PRAHB2 2331-7019 10.1103/PhysRevApplied.4.024004  15 J. Wrachtrup and A. Finkler , J. Magn. Reson. 269 , 225 ( 2016 ). JMARF3 1090-7807 10.1016/j.jmr.2016.06.017  16 D. Suter and G. Alvarez , Rev. Mod. Phys. 88 , 041001 ( 2016 ). RMPHAT 0034-6861 10.1103/RevModPhys.88.041001  17 S. Kotler , N. Akerman , Y. Glickman , A. Keselman , and R. Ozeri , Nature (London) 473 , 61 ( 2011 ). NATUAS 0028-0836 10.1038/nature10010  18 G. de Lange , D. Riste , V. V. Dobrovitski , and R. Hanson , Phys. Rev. Lett. 106 , 080802 ( 2011 ). PRLTAO 0031-9007 10.1103/PhysRevLett.106.080802  19 J. Bylander , S. Gustavsson , F. Yan , F. Yoshihara , K. Harrabi , G. Fitch , D. G. Cory , Y. Nakamura , J. S. Tsai , and W. D. Oliver , Nat. Phys. 7 , 565 ( 2011 ). NPAHAX 1745-2473 10.1038/nphys1994  20 H. Y. Carr and E. M. Purcell , Phys. Rev. 94 , 630 ( 1954 ). PHRVAO 0031-899X 10.1103/PhysRev.94.630  21 L. M. Norris , G. A. Paz-Silva , and L. Viola , Phys. Rev. Lett. 116 , 150503 ( 2016 ). PRLTAO 0031-9007 10.1103/PhysRevLett.116.150503  22 X. Qin , Y. J. Xie , R. Li , X. Rong , X. Kong , F. Z. Shi , P. F. Wang , and J. F. Du , IEEE Magn. Lett. 7 , 1 ( 2016 ). 1949-307X 10.1109/LMAG.2016.2536661  23 X. Qin , Z. Shi , Y. Xie , L. Wang , X. Rong , W. Jia , W. Zhang , and J. Du , Rev. Sci. Instrum. 88 , 014702 ( 2017 ). RSINAK 0034-6748 10.1063/1.4973725  24 A. Ajoy , Y. X. Liu , K. Saha , L. Marseglia , J. C. Jaskula , U. Bissbort , and P. Cappellaro , Proc. Natl. Acad. Sci. U.S.A. 114 , 2149 ( 2017 ). PNASA6 0027-8424 10.1073/pnas.1610835114  25 R. R. Ernst , G. Bodenhausen , and A. Wokaun , International Series of Monographs on Chemistry ( Clarendon Press , Oxford, 1990 ).  26 M. Steffen , J. M. Martinis , and I. L. Chuang , Phys. Rev. B 68 , 224518 ( 2003 ). PRBMDO 0163-1829 10.1103/PhysRevB.68.224518  27 See Supplemental Material at http://link.aps.org/supplemental/10.1103/PhysRevLett.119.260501 for computer code and numerical simulations, which includes Ref. .  28 M. Loretz , J. M. Boss , T. Rosskopf , H. J. Mamin , D. Rugar , and C. L. Degen , Phys. Rev. X 5 , 021009 ( 2015 ). PRXHAE 2160-3308 10.1103/PhysRevX.5.021009  29 S. J. Glaser , U. Boscain , T. Calarco , C. P. Koch , W. Kockenberger , R. Kosloff , I. Kuprov , B. Luy , S. Schirmer , T. Schulte-herbruggen , D. Sugny , and F. K. Wilhelm , Eur. Phys. J. D 69 , 279 ( 2015 ). EPJDF6 1434-6060 10.1140/epjd/e2015-60464-1  30 F. Jelezko and J. Wrachtrup , Phys. Status Solidi (a) 203 , 3207 ( 2006 ). PSSABA 0031-8965 10.1002/pssa.200671403  31 M. Loretz , T. Rosskopf , and C. L. Degen , Phys. Rev. Lett. 110 , 017602 ( 2013 ). PRLTAO 0031-9007 10.1103/PhysRevLett.110.017602  32 C. Degen , F. Reinhard , and P. Cappellaro , Rev. Mod. Phys. 89 , 035002 ( 2017 ). RMPHAT 0034-6861 10.1103/RevModPhys.89.035002  33 S. Kotler , N. Akerman , Y. Glickman , and R. Ozeri , Phys. Rev. Lett. 110 , 110503 ( 2013 ). PRLTAO 0031-9007 10.1103/PhysRevLett.110.110503  34 T. H. Taminiau , J. J. T. Wagenaar , T. van der Sar , F. Jelezko , V. V. Dobrovitski , and R. Hanson , Phys. Rev. Lett. 109 , 137602 ( 2012 ). PRLTAO 0031-9007 10.1103/PhysRevLett.109.137602  35 N. Zhao , J. Honert , B. Schmid , M. Klas , J. Isoya , M. Markham , D. Twitchen , F. Jelezko , R. Liu , H. Fedder , and J. Wrachtrup , Nat. Nanotechnol. 7 , 657 ( 2012 ). NNAABX 1748-3387 10.1038/nnano.2012.152  36 S. Kolkowitz , Q. P. Unterreithmeier , S. D. Bennett , and M. D. Lukin , Phys. Rev. Lett. 109 , 137601 ( 2012 ). PRLTAO 0031-9007 10.1103/PhysRevLett.109.137601  37 J. M. Boss , K. Chang , J. Armijo , K. Cujia , T. Rosskopf , J. R. Maze , and C. L. Degen , Phys. Rev. Lett. 116 , 197601 ( 2016 ). PRLTAO 0031-9007 10.1103/PhysRevLett.116.197601 Publisher Copyright: © 2017 American Physical Society.
PY - 2017/12/28
Y1 - 2017/12/28
N2 - We investigate the application of amplitude-shaped control pulses for enhancing the time and frequency resolution of multipulse quantum sensing sequences. Using the electronic spin of a single nitrogen-vacancy center in diamond and up to 10 000 coherent microwave pulses with a cosine square envelope, we demonstrate 0.6-ps timing resolution for the interpulse delay. This represents a refinement by over 3 orders of magnitude compared to the 2-ns hardware sampling. We apply the method for the detection of external ac magnetic fields and nuclear magnetic resonance signals of C13 spins with high spectral resolution. Our method is simple to implement and especially useful for quantum applications that require fast phase gates, many control pulses, and high fidelity.
AB - We investigate the application of amplitude-shaped control pulses for enhancing the time and frequency resolution of multipulse quantum sensing sequences. Using the electronic spin of a single nitrogen-vacancy center in diamond and up to 10 000 coherent microwave pulses with a cosine square envelope, we demonstrate 0.6-ps timing resolution for the interpulse delay. This represents a refinement by over 3 orders of magnitude compared to the 2-ns hardware sampling. We apply the method for the detection of external ac magnetic fields and nuclear magnetic resonance signals of C13 spins with high spectral resolution. Our method is simple to implement and especially useful for quantum applications that require fast phase gates, many control pulses, and high fidelity.
UR - http://www.scopus.com/inward/record.url?scp=85039722744&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85039722744&partnerID=8YFLogxK
U2 - 10.1103/PhysRevLett.119.260501
DO - 10.1103/PhysRevLett.119.260501
M3 - Article
C2 - 29328731
AN - SCOPUS:85039722744
VL - 119
JO - Physical Review Letters
JF - Physical Review Letters
SN - 0031-9007
IS - 26
M1 - 260501